Apparatus and method for providing three dimensional media content

1. A system comprising:

means for generating a disparity map based on a depth map;

means for determining accuracy of pixels in the depth map, wherein the determining means identifies the pixels as either accurate or inaccurate based on a confidence map and the disparity map; and

means for providing an adjusted depth map, wherein the providing means adjusts inaccurate pixels of the depth map using a cost function associated with the inaccurate pixels.

2. The system of claim 1 , wherein the providing means applies one of a graph-cut analysis or a belief-propagation analysis to the cost function to provide the adjusted depth map, and wherein the accurate pixels are not adjusted.

3. The system of claim 1 , further comprising means for rendering three-dimensional media content, wherein the rendering means uses the adjusted depth map and images from at least one vision camera to render the three-dimensional media content.

4. The system of claim 1 , wherein the determining means measures a disparity variance for a pre-determined region surrounding each pixel of the disparity map to identify the pixels as either accurate or inaccurate.

5. The system of claim 1 , further comprising means for obtaining range data, wherein the obtaining means generates the depth map based on the range data.

6. The system of claim 5 , wherein the obtaining means generates the confidence map.

7. The system of claim 5 , wherein the obtaining means measures parameters associated with infrared light to obtain the range data.

8. The system of claim 5 , further comprising:

means for capturing stereo image pairs; and

means for calibrating the capturing means with the obtaining means.

9. The system of claim 8 , wherein the calibrating means utilizes homographic warping approximation.

10. A method comprising:

obtaining a depth map and a confidence map associated with an object;

obtaining a stereo image pair of the object;

generating a disparity map based on the depth map;

determining accuracy of pixels in the depth map based on the confidence map and the disparity map; and

adjusting inaccurate pixels of the depth map to generate an adjusted depth map using a cost function associated with the inaccurate pixels.

11. The method of claim 10 , further comprising transmitting the adjusted depth map and at least one of the stereo image pair to a media processor for generating three-dimensional media content.

12. The method of claim 10 , wherein the determining of the accuracy of the pixels is based on measuring a disparity variance for a pre-determined region surrounding each pixel of the disparity map to identify the pixels as either accurate or inaccurate.

13. The method of claim 10 , wherein the adjusting of the inaccurate pixels is based on a belief-propagation analysis.

14. The method of claim 10 , wherein the adjusting of the inaccurate pixels is based on a graph-cut analysis.

15. The method of claim 10 , wherein the obtaining of the depth map is based on measuring parameters associated with infrared light to obtain range data associated with the object.

16. The method of claim 10 , further comprising:

generating three-dimensional media content based on the adjusted depth map, the confidence map and at least one of the stereo image pairs; and

presenting the three-dimensional media content on a display.

17. The method of claim 10 , further comprising:

obtaining the stereo image pair using a pair of vision cameras;

calibrating the pair of vision cameras;

rectifying the stereo image pair; and

mapping the depth map with the rectified stereo image pair.

18. The method of claim 17 , wherein the mapping of the depth map with the rectified stereo image pairs utilizes homographic warping approximation.